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PAKDD
2009
ACM
170views Data Mining» more  PAKDD 2009»
16 years 3 months ago
Discovering Periodic-Frequent Patterns in Transactional Databases.
Since mining frequent patterns from transactional databases involves an exponential mining space and generates a huge number of patterns, efficient discovery of user-interest-based...
Byeong-Soo Jeong, Chowdhury Farhan Ahmed, Syed Kha...
IPPS
2010
IEEE
15 years 4 months ago
PreDatA - preparatory data analytics on peta-scale machines
Peta-scale scientific applications running on High End Computing (HEC) platforms can generate large volumes of data. For high performance storage and in order to be useful to scien...
Fang Zheng, Hasan Abbasi, Ciprian Docan, Jay F. Lo...
PVLDB
2010
122views more  PVLDB 2010»
15 years 5 months ago
Database Replication: a Tale of Research across Communities
Replication is a key mechanism to achieve scalability and fault-tolerance in databases. Its importance has recently been further increased because of the role it plays in achievin...
Bettina Kemme, Gustavo Alonso
ICCV
2003
IEEE
16 years 8 months ago
Mean Shift Based Clustering in High Dimensions: A Texture Classification Example
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
Bogdan Georgescu, Ilan Shimshoni, Peter Meer
HPCC
2007
Springer
16 years 23 days ago
Throttling I/O Streams to Accelerate File-IO Performance
To increase the scale and performance of scientific applications, scientists commonly distribute computation over multiple processors. Often without realizing it, file I/O is pa...
Seetharami R. Seelam, Andre Kerstens, Patricia J. ...